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Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems


Apr 19, 2021
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang

* NAACL 2021 System Demonstrations Track 

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Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems


Nov 16, 2020
Chien-Wei Lin, Vincent Auvray, Daniel Elkind, Arijit Biswas, Maryam Fazel-Zarandi, Nehal Belgamwar, Shubhra Chandra, Matt Zhao, Angeliki Metallinou, Tagyoung Chung, Charlie Shucheng Zhu, Suranjit Adhikari, Dilek Hakkani-Tur

* To be presented at Human in the Loop Dialogue Systems Workshop, NeurIPS 2020 

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Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors


Jun 10, 2020
Longshaokan Wang, Maryam Fazel-Zarandi, Aditya Tiwari, Spyros Matsoukas, Lazaros Polymenakos

* To be presented at 2nd Workshop on NLP for ConvAI, ACL 2020 

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Towards Personalized Dialog Policies for Conversational Skill Discovery


Nov 15, 2019
Maryam Fazel-Zarandi, Sampat Biswas, Ryan Summers, Ahmed Elmalt, Andy McCraw, Michael McPhilips, John Peach

* The 3rd Conversational AI workshop - today's practice and tomorrow's potential 

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Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery


Nov 08, 2019
Maryam Fazel-Zarandi, Longshaokan Wang, Aditya Tiwari, Spyros Matsoukas

* The 3rd Conversational AI workshop - today's practice and tomorrow's potential 

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Learning Robust Dialog Policies in Noisy Environments


Dec 11, 2017
Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao, Jared Casale, Peter Henderson, David Whitney, Alborz Geramifard

* 1st Workshop on Conversational AI at NIPS 2017 

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